| Data |

Spatial Innovation
Geospatial Data Analysis and Cartography

Team: Tianyu Su, Zhuangyuan Fan, Yonghui Chen

# Spatial Analytics, Data Visualization, Web Mapping

Within the context of the late 2000s, a wide diffusion of innovation hubs emerges. San Francisco, as the home to the first co-working space, “Hat Factory”, is now home to a variety of startups, freelancers, angel investors, all interested in finding their match. Under the hypothesis that sharing the same space might foster an innovative and collaborative community to the creative class, incubators, accelerators and co-working spaces are seen as information exchange and business opportunities.

 

This research attempts to investigate the geography of entrepreneurship activities and identify the high priority urban spaces for entrepreneurs in San Francisco. We will approach this research by looking at the spatial pattern of these three types of innovation space: co-working, incubator, accelerator and figure out the key factor influence the developers to make the choices of the locations. The significant applications of this research lie both for the venture capital firms and developers who run these spaces and the entrepreneurs who are looking for places to work in. On the one hand, based on the data and analysis we have, we can run a simulation to find the prospective places for future innovation hubs; on the other hand, our model could help the entrepreneurs to find a better place to stay.